Senior Data Analyst

The DGM – Analytics leads the analytics function end to end: a team of analysts, the partnership with business and leadership, and the search for where the business can grow next. This is a senior, high-visibility role for someone who can shape strategy at the leadership table and still go deep on the data when needed.

Key Responsibilities

Team leadership

• Lead, mentor and grow a team of analysts; set clear goals, review work quality and build a strong talent pipeline.
• Define the team's operating rhythm: prioritization, project intake, review standards and documentation.
• Develop analysts technical depth and business thinking through coaching, feedback and stretch assignments.

Stakeholder management and leadership partnership

• Act as the primary analytics partner to business heads and senior leadership, translating business questions into analytical problems.
• Present insights, recommendations and trade-offs to leadership in clear, decision-ready form.
• Manage expectations, timelines and competing priorities across multiple stakeholders.

Gap identification and business scaling

• Proactively diagnose gaps in performance, processes, funnels, customer experience and data availability.
• Identify and size opportunities to scale the business, such as new segments, channels, products, pricing levers and efficiency gains.
• Turn findings into prioritized action plans with owners, metrics and expected impact, and track them to closure.

Analytics strategy and governance

• Own the analytics roadmap and align it with business goals.
• Establish KPI frameworks, dashboards and single sources of truth for decision-making.
• Drive data quality, governance and adoption of self-serve analytics across the organization.

Hands-on delivery

• Work independently on complex analyses, from framing the problem and querying data to modelling and storytelling, without waiting for direction.
• Guide the use of advanced techniques (statistical modelling, forecasting, segmentation, experimentation, ML where it adds value).
• Evaluate and introduce tools, automation and best practices that raise the team's productivity.

Qualifications and Experience

• Bachelor's degree in Engineering, Statistics, Mathematics, Economics or a related field; an MBA or master's in a quantitative discipline is preferred.
• 6–8 years of experience in analytics, business intelligence or data science, with a prior experience of leading teams of analysts.
• Proven track record of partnering with senior leadership and influencing business decisions with data.
• Demonstrated impact: examples of growth, revenue, cost or efficiency gains driven by analytics.
• Experience in fintech is an advantage.

Skills and Competencies

Technical

• Strong command of SQL and at least one analytics language (Python or R); able to build and review hands-on analyses.
• Expertise in BI and visualization tools (Power BI, Tableau, Looker or similar).
• Solid grounding in statistics, forecasting, experimentation and predictive modelling.
• Familiarity with data warehouses, cloud platforms and modern data stacks.